Matrix algorithms are at the core of scientific computing and
are indispensable tools in most applications in engineering. This
book offers a comprehensive and up-to-date treatment of modern
methods in matrix computation. It uses a unified approach to direct
and iterative methods for linear systems, least squares and
eigenvalue problems. A thorough analysis of the stability, accuracy
and complexity of the treated methods is given.
"Numerical Methods in Matrix Computations" is suitable for use
in courses on scientific computing and applied technical areas at
advanced undergraduate and graduate level. A large bibliography is
provided, which includes both historical and review papers as well
as recent research papers. This makes the book useful also as a
reference and guide to further study and research work.
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